Triple
T11178096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Huy |
E264463
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ouffet
Ouffet is a small municipality in the province of Liège in Wallonia, Belgium, known for its rural character and historic village setting.
|
E994128
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ouffet | Statement: [Arrondissement of Huy, hasPart, Ouffet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouffet Context triple: [Arrondissement of Huy, hasPart, Ouffet]
-
A.
L’Agly
L’Agly is a coastal river in southern France that flows through the Pyrénées-Orientales and Aude departments before emptying into the Mediterranean Sea.
-
B.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
C.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
D.
Cèze River
The Cèze River is a tributary of the Rhône in southern France, known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
-
E.
Sée River
The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ouffet Triple: [Arrondissement of Huy, hasPart, Ouffet]
Generated description
Ouffet is a small municipality in the province of Liège in Wallonia, Belgium, known for its rural character and historic village setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ouffet Target entity description: Ouffet is a small municipality in the province of Liège in Wallonia, Belgium, known for its rural character and historic village setting.
-
A.
L’Agly
L’Agly is a coastal river in southern France that flows through the Pyrénées-Orientales and Aude departments before emptying into the Mediterranean Sea.
-
B.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
C.
Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
-
D.
Cèze River
The Cèze River is a tributary of the Rhône in southern France, known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
-
E.
Sée River
The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6684574908190bd7e3d1a7dd6d876 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fe4bc48190adba50ad58b10c45 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 8, 2026, 9:29 p.m.